Bachelor of Science in Data Science and Artificial Intelligence

Single Degree

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Programme Type

Full-time

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An undergraduate degree programme in Data Science and Artificial Intelligence, based on rigorous training in the synergistic fields of statistics and computer science.

The programme, which is run jointly by the School of Computer Science and Engineering and the School of Physical and Mathematical Sciences, targets students who have the vision of using data science and artificial intelligence (AI) to find innovative solutions to society’s pressing challenges.

The curriculum provides students with opportunities to solve real-life problems in different applications domains ranging from science and technology, healthcare, business and finance, environmental sustainability, and more.





Provides opportunities to use Data Science and Artificial Intelligence to solve real-life problems in different application domains such as science and technology, healthcare, business and finance, environmental sustainability, and more.

GCE ‘A’ Level 
 
Pass in H2 Level Mathematics, and 
 
Pass in H2 Level Biology/Chemistry/Computing/Physics 
 
International Baccalaureate 
 
Pass in HL Mathematics, and 
 
Pass in HL Biology/Chemistry/Computer Science/Physics 
 
 
NUS High School Diploma 
 
Major CAP of 2.0 in Mathematics, and 
 
Major CAP of 2.0 in Biology/Chemistry/Physics 
 
 
International & Other Qualifications 
 
Pass in Senior High School Level Mathematics, and 
 
Pass in Senior High School Level Biology/Chemistry/Physics 
 
 
Diploma Holders 
 
Applicants should have a relevant diploma from one of the local polytechnics. Those with a Certificate of Merit, Diploma with Merit or Diploma with Distinction may apply for any  programme in NTU. 
 
 
For the list of acceptable local diplomas and exempted courses, 
 
please visit ntu.edu.sg/url/localdiploma.html 
This is a full time four-year direct honours Bachelor of Science degree programme, jointly offered by SCSE and the School of Physical and Mathematical Sciences (SPMS).
View Curriculum here
  • Machine Learning Engineer
  • Data scientist
  • Research Scientist
  • R&D Engineer
  • Business Intelligence Developer
  • Computer Vision Research Engineer
  • Data Analyst
  • Data Architect
  • AI Engineer
  • AI Scientist

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